Exploring ways to speed up the application of metrics to assess co-creative design sessions

Analysing and comparing the results from design experiments is a crucial but often time consuming process. This problem becomes critical when a large number of experiments are to be analysed in order to evaluate the performance of a new tool or technology. In this paper we present an example of how this challenge is being addressed within the SPARK (Spatial Augmented Reality for Co-Creativity) H2020 project, which is currently developing an augmented-reality system to assist designers and non-designers to co-create more effectively. To evaluate the co-creative sessions a suite of metrics has previously been defined for the project. The scope of this paper is to radically speed up the application of the metrics by adjusting metrics and - more importantly - the way of collecting the data on co-creative sessions. The paper will be of interest to others doing quantitative analysis of creative design sessions.